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Show HN: XR2000: A science fiction programming challenge

Today I’m releasing the XR2000: A programming challenge with extensive science fiction backstory.

Show HN: XR2000: A science fiction programming challenge

Today I’m releasing the XR2000: A programming challenge with extensive science fiction backstory.

Show HN: XR2000: A science fiction programming challenge

Today I’m releasing the XR2000: A programming challenge with extensive science fiction backstory.

Show HN: XR2000: A science fiction programming challenge

Today I’m releasing the XR2000: A programming challenge with extensive science fiction backstory.

Show HN: Yet another memory system for LLMs

Built this for my LLM workflows - needed searchable, persistent memory that wouldn't blow up storage costs. I also wanted to use it locally for my research. It's a content-addressed storage system with block-level deduplication (saves 30-40% on typical codebases). I have integrated the CLI tool into most of my workflows in Zed, Claude Code, and Cursor, and I provide the prompt I'm currently using in the repo.<p>The project is in C++ and the build system is rough around the edges but is tested on macOS and Ubuntu 24.04.

Show HN: Yet another memory system for LLMs

Built this for my LLM workflows - needed searchable, persistent memory that wouldn't blow up storage costs. I also wanted to use it locally for my research. It's a content-addressed storage system with block-level deduplication (saves 30-40% on typical codebases). I have integrated the CLI tool into most of my workflows in Zed, Claude Code, and Cursor, and I provide the prompt I'm currently using in the repo.<p>The project is in C++ and the build system is rough around the edges but is tested on macOS and Ubuntu 24.04.

Show HN: OWhisper – Ollama for realtime speech-to-text

Hello everyone. This is Yujong from the Hyprnote team (<a href="https://github.com/fastrepl/hyprnote" rel="nofollow">https://github.com/fastrepl/hyprnote</a>).<p>We built OWhisper for 2 reasons: (Also outlined in <a href="https://docs.hyprnote.com/owhisper/what-is-this" rel="nofollow">https://docs.hyprnote.com/owhisper/what-is-this</a>)<p>(1). While working with on-device, realtime speech-to-text, we found there isn't tooling that exists to download / run the model in a practical way.<p>(2). Also, we got frequent requests to provide a way to plug in custom STT endpoints to the Hyprnote desktop app, just like doing it with OpenAI-compatible LLM endpoints.<p>The (2) part is still kind of WIP, but we spent some time writing docs so you'll get a good idea of what it will look like if you skim through them.<p>For (1) - You can try it now. (<a href="https://docs.hyprnote.com/owhisper/cli/get-started" rel="nofollow">https://docs.hyprnote.com/owhisper/cli/get-started</a>)<p><pre><code> bash brew tap fastrepl/hyprnote && brew install owhisper owhisper pull whisper-cpp-base-q8-en owhisper run whisper-cpp-base-q8-en </code></pre> If you're tired of Whisper, we also support Moonshine :) Give it a shot (owhisper pull moonshine-onnx-base-q8)<p>We're here and looking forward to your comments!

Show HN: OWhisper – Ollama for realtime speech-to-text

Hello everyone. This is Yujong from the Hyprnote team (<a href="https://github.com/fastrepl/hyprnote" rel="nofollow">https://github.com/fastrepl/hyprnote</a>).<p>We built OWhisper for 2 reasons: (Also outlined in <a href="https://docs.hyprnote.com/owhisper/what-is-this" rel="nofollow">https://docs.hyprnote.com/owhisper/what-is-this</a>)<p>(1). While working with on-device, realtime speech-to-text, we found there isn't tooling that exists to download / run the model in a practical way.<p>(2). Also, we got frequent requests to provide a way to plug in custom STT endpoints to the Hyprnote desktop app, just like doing it with OpenAI-compatible LLM endpoints.<p>The (2) part is still kind of WIP, but we spent some time writing docs so you'll get a good idea of what it will look like if you skim through them.<p>For (1) - You can try it now. (<a href="https://docs.hyprnote.com/owhisper/cli/get-started" rel="nofollow">https://docs.hyprnote.com/owhisper/cli/get-started</a>)<p><pre><code> bash brew tap fastrepl/hyprnote && brew install owhisper owhisper pull whisper-cpp-base-q8-en owhisper run whisper-cpp-base-q8-en </code></pre> If you're tired of Whisper, we also support Moonshine :) Give it a shot (owhisper pull moonshine-onnx-base-q8)<p>We're here and looking forward to your comments!

Show HN: OWhisper – Ollama for realtime speech-to-text

Hello everyone. This is Yujong from the Hyprnote team (<a href="https://github.com/fastrepl/hyprnote" rel="nofollow">https://github.com/fastrepl/hyprnote</a>).<p>We built OWhisper for 2 reasons: (Also outlined in <a href="https://docs.hyprnote.com/owhisper/what-is-this" rel="nofollow">https://docs.hyprnote.com/owhisper/what-is-this</a>)<p>(1). While working with on-device, realtime speech-to-text, we found there isn't tooling that exists to download / run the model in a practical way.<p>(2). Also, we got frequent requests to provide a way to plug in custom STT endpoints to the Hyprnote desktop app, just like doing it with OpenAI-compatible LLM endpoints.<p>The (2) part is still kind of WIP, but we spent some time writing docs so you'll get a good idea of what it will look like if you skim through them.<p>For (1) - You can try it now. (<a href="https://docs.hyprnote.com/owhisper/cli/get-started" rel="nofollow">https://docs.hyprnote.com/owhisper/cli/get-started</a>)<p><pre><code> bash brew tap fastrepl/hyprnote && brew install owhisper owhisper pull whisper-cpp-base-q8-en owhisper run whisper-cpp-base-q8-en </code></pre> If you're tired of Whisper, we also support Moonshine :) Give it a shot (owhisper pull moonshine-onnx-base-q8)<p>We're here and looking forward to your comments!

Show HN: OWhisper – Ollama for realtime speech-to-text

Hello everyone. This is Yujong from the Hyprnote team (<a href="https://github.com/fastrepl/hyprnote" rel="nofollow">https://github.com/fastrepl/hyprnote</a>).<p>We built OWhisper for 2 reasons: (Also outlined in <a href="https://docs.hyprnote.com/owhisper/what-is-this" rel="nofollow">https://docs.hyprnote.com/owhisper/what-is-this</a>)<p>(1). While working with on-device, realtime speech-to-text, we found there isn't tooling that exists to download / run the model in a practical way.<p>(2). Also, we got frequent requests to provide a way to plug in custom STT endpoints to the Hyprnote desktop app, just like doing it with OpenAI-compatible LLM endpoints.<p>The (2) part is still kind of WIP, but we spent some time writing docs so you'll get a good idea of what it will look like if you skim through them.<p>For (1) - You can try it now. (<a href="https://docs.hyprnote.com/owhisper/cli/get-started" rel="nofollow">https://docs.hyprnote.com/owhisper/cli/get-started</a>)<p><pre><code> bash brew tap fastrepl/hyprnote && brew install owhisper owhisper pull whisper-cpp-base-q8-en owhisper run whisper-cpp-base-q8-en </code></pre> If you're tired of Whisper, we also support Moonshine :) Give it a shot (owhisper pull moonshine-onnx-base-q8)<p>We're here and looking forward to your comments!

Show HN: I built a free alternative to Adobe Acrobat PDF viewer

I built EmbedPDF: an MIT-licensed, open-source PDF viewer that aims to match all of Adobe Acrobat’s paid features… for free.<p>Already working:<p>- Annotations (highlight, sticky notes, free text, ink)<p>- True redaction (content actually removed)<p>- Search, text selection, zoom, rotation<p>- Runs fully in the browser, no server needed<p>- Drop-in SDK for React, Vue, Preact, vanilla JS<p>Why? Acrobat is heavy, closed, and pricey. I wanted something lightweight, hackable, and embeddable anywhere.<p>Demo: <a href="https://app.embedpdf.com/" rel="nofollow">https://app.embedpdf.com/</a> Website: <a href="https://www.embedpdf.com/" rel="nofollow">https://www.embedpdf.com/</a> GitHub: <a href="https://github.com/embedpdf/embed-pdf-viewer" rel="nofollow">https://github.com/embedpdf/embed-pdf-viewer</a><p>Feedback, bug reports, and feature requests welcome!

Show HN: I built a free alternative to Adobe Acrobat PDF viewer

I built EmbedPDF: an MIT-licensed, open-source PDF viewer that aims to match all of Adobe Acrobat’s paid features… for free.<p>Already working:<p>- Annotations (highlight, sticky notes, free text, ink)<p>- True redaction (content actually removed)<p>- Search, text selection, zoom, rotation<p>- Runs fully in the browser, no server needed<p>- Drop-in SDK for React, Vue, Preact, vanilla JS<p>Why? Acrobat is heavy, closed, and pricey. I wanted something lightweight, hackable, and embeddable anywhere.<p>Demo: <a href="https://app.embedpdf.com/" rel="nofollow">https://app.embedpdf.com/</a> Website: <a href="https://www.embedpdf.com/" rel="nofollow">https://www.embedpdf.com/</a> GitHub: <a href="https://github.com/embedpdf/embed-pdf-viewer" rel="nofollow">https://github.com/embedpdf/embed-pdf-viewer</a><p>Feedback, bug reports, and feature requests welcome!

Show HN: I built a free alternative to Adobe Acrobat PDF viewer

I built EmbedPDF: an MIT-licensed, open-source PDF viewer that aims to match all of Adobe Acrobat’s paid features… for free.<p>Already working:<p>- Annotations (highlight, sticky notes, free text, ink)<p>- True redaction (content actually removed)<p>- Search, text selection, zoom, rotation<p>- Runs fully in the browser, no server needed<p>- Drop-in SDK for React, Vue, Preact, vanilla JS<p>Why? Acrobat is heavy, closed, and pricey. I wanted something lightweight, hackable, and embeddable anywhere.<p>Demo: <a href="https://app.embedpdf.com/" rel="nofollow">https://app.embedpdf.com/</a> Website: <a href="https://www.embedpdf.com/" rel="nofollow">https://www.embedpdf.com/</a> GitHub: <a href="https://github.com/embedpdf/embed-pdf-viewer" rel="nofollow">https://github.com/embedpdf/embed-pdf-viewer</a><p>Feedback, bug reports, and feature requests welcome!

Show HN: I built a free alternative to Adobe Acrobat PDF viewer

I built EmbedPDF: an MIT-licensed, open-source PDF viewer that aims to match all of Adobe Acrobat’s paid features… for free.<p>Already working:<p>- Annotations (highlight, sticky notes, free text, ink)<p>- True redaction (content actually removed)<p>- Search, text selection, zoom, rotation<p>- Runs fully in the browser, no server needed<p>- Drop-in SDK for React, Vue, Preact, vanilla JS<p>Why? Acrobat is heavy, closed, and pricey. I wanted something lightweight, hackable, and embeddable anywhere.<p>Demo: <a href="https://app.embedpdf.com/" rel="nofollow">https://app.embedpdf.com/</a> Website: <a href="https://www.embedpdf.com/" rel="nofollow">https://www.embedpdf.com/</a> GitHub: <a href="https://github.com/embedpdf/embed-pdf-viewer" rel="nofollow">https://github.com/embedpdf/embed-pdf-viewer</a><p>Feedback, bug reports, and feature requests welcome!

Show HN: Inworld Runtime – A C++ graph-based runtime for production AI apps

Hey HN, this is Igor, one of the engineers behind Inworld Runtime, which we're releasing today in public preview.<p>We built it to solve the common problem we and our customers had: engineers spend more time on AI ops and plumbing than on actual feature development. This was often due to the challenge of using Python for I/O-bound, high-concurrency workloads and complexity maintaining pipelines with streams that use always-changing ML models.<p>Our solution is a high-performance runtime written in C++ with the core idea of defining AI logic as graphs. For instance, a basic voice-to-voice agent consists of STT → LLM → TTS nodes, while the connecting edges stream data and enforce conditions. This graph engine is portable (Linux, Windows, macOS) and can run on-device.<p>We built a few key features on top of this C++ core:<p>- Extensions. Runtime architecture decouples graph definition from implementation. If a pre-built component doesn't exist, you can register your own custom node/code and reuse it in any graph without writing any glue code.<p>- Routers. You can dynamically select models/settings on the per-node basis depending on the traffic as well as configure policies for fallbacks and retries to get the app ready for production.<p>- The Portal. A web-based control plane UI to deploy graphs, push config changes instantly, run A/B tests on live traffic, and monitor your app with logs, traces, and metrics.<p>- Unified API. Use our optimized models or route to providers like OpenAI, Anthropic, and Google through a single, consistent interface and one API key.<p>We have a Node.js SDK out now, with Python, Unity, Unreal, and native C++ coming soon. We plan to open-source the SDKs, starting with Node.js.<p>The docs are here: <a href="https://docs.inworld.ai/docs/runtime/overview" rel="nofollow">https://docs.inworld.ai/docs/runtime/overview</a><p>We're eager for feedback from fellow engineers and builders. What do you think?

Show HN: I built LMArena for Motion Graphics

A motion-graphic comparison website in the vein of LMArena. The videos are rendered via Remotion.<p>We hope that AI will be used in interesting ways to help with video production, so we wanted to give some of the models available today a shot at some basic graphics.

Show HN: Turn your iPhone into a local OCR server using Vision Framework

Built an iOS app that runs a local OCR server using Apple's Vision Framework.<p>Creates a REST API endpoint accessible from any device on your network. No cloud services needed - everything processes locally on the phone.<p>Available on App Store (searching "OCR Server").<p>Would appreciate feedback on the architecture or similar mobile-as-server projects you've seen.

Show HN: Move to dodge the bullets. How long can you survive?

Show HN: Move to dodge the bullets. How long can you survive?

Show HN: Move to dodge the bullets. How long can you survive?

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